If you are not sure about the nature of time-series data in your planning area, you can set the system to analyze the values of a selected input key figure based on predefined rules, and save the identified properties in the background. This process is called time-series analysis.

The process consists of the following steps:
- As an administrator or configuration expert, you set up the rules for the analysis in the Manage Forecast Automation Profiles app.
- As a business user, you schedule and run a forecast automation job in the Application Jobs app, for which you select the Time Series Analysis option.
- Optionally, you can check the results of the forecast automation job that you just ran. To do so, select or open the corresponding forecast automation profile in the Manage Forecast Automation Profiles app and choose Show Analysis Results.
A new screen opens that shows the following information:
The planning objects for which the time-series have been analyzed on the selected calculation level.
A summary of the time-series properties that were identified for each planning object.
Details about each property that was checked during the analysis.
Note
You can filter and personalize the table to see only the results that are relevant for you.If you are working with a large number of planning objects and want to check the distribution of the various time series properties among them, you can switch from the table view to a pie chart. When you choose a segment in the pie chart, information is displayed about the property it represents as well as the number and percentage of planning objects identified as having that property.
You can filter the properties displayed in the pie chart, if you wish. For example, you can set the system to show only the distribution of downward trend and additive seasonality.
The results are displayed even if you didn’t choose any attribute or key figure for saving them. This allows you to assess the efficiency of the forecast automation profile and change some parameters in it before executing the next run, thus getting more exact results.
- Utilize analysis results.
Time series properties are leveraged in one or more of the following applications:
In the Manage Forecast Models app, where you can choose the Consider Time Series Properties option after setting the system to utilize multiple forecasts using the Choose Best Forecast method. If you do so, the system checks the time-series properties that were identified by the most recent forecast automation job for the selected planning objects, and uses them to filter out the algorithms that are not expected to calculate an appropriate forecast.
Additionally, you can set the outlier correction preprocessing algorithm to consider time-series properties. If you do so, the algorithm can detect outliers that don’t vary significantly from the mean or median but do vary from the seasonality or trend pattern in the data.
In the Manage ABC/XYZ Segmentation Rules app, where the system considers the results automatically during XYZ segmentation.
In the SAP IBP, add-in for Microsoft Excel, where you can use them to limit and filter your planning views if you have saved the properties in an attribute and other results in key figures.
Note
You can modify the values of the attribute that is used to save time series properties but these manual changes will not influence the automated forecasting processes.
In the Assign Forecast Models app, where you can filter the set of available planning objects in order to identify the forecast models that suit them the most.

